{"id":"W6962094917","doi":"10.15468/dl.wmvtpq","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00100378,0.002042641,0.001555072,0.004942028,0.0009728882,0.002600375,0.002822042,0.002044522,0.1485497],"category_scores_gemma":[0.006023733,0.0009146839,0.001206605,0.009736619,0.0004595406,0.002229947,0.00272128,0.001899523,0.2215215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563617,"about_ca_system_score_gemma":0.002338454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0220256,"about_ca_topic_score_gemma":0.0358541,"domain_scores_codex":[0.9988849,0.0001526944,0.0001409684,0.0003759584,0.0002595066,0.000186052],"domain_scores_gemma":[0.9975482,0.0006149227,0.0002292093,0.0007079104,0.0006106527,0.0002891636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003208931,0.00001120486,0.0003580417,0.0005224033,0.0000156696,0.00001376941,0.00002152362,0.0001220625,0.0001237427,0.0003593065,0.996973,0.001447129],"study_design_scores_gemma":[0.00007304909,0.000008244807,0.001868808,0.0001743455,0.00001391036,0.00003521243,0.00006274822,0.0001386889,0.0002019209,0.000742581,0.9966639,0.00001673764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004314933,0.00002874916,0.00003884971,0.00003462913,0.00001045583,0.000005160825,0.9988311,0.0003830283,0.0006249737],"genre_scores_gemma":[0.0001567869,0.00003182593,0.0001627516,0.00004257521,0.000003217838,0.00003665095,0.9989974,0.0001355916,0.0004331929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8514503,"threshold_uncertainty_score":0.4969484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}